MOF CLOUD FINOPS

Mof Cloud Cost Dashboard

Every cloud’s bill in one dashboard — including the China clouds most tools can’t reach. Track spend, allocate costs and cut waste with FinOps.

Mof

CLOUD COST MANAGEMENT

Multi-cloud bills

Cost allocation

Anomaly alerts

AI usage

Virtual tags

Resource optimization

Widest coverage in the industry

One place for 12+ clouds worldwide

Global platforms manage the usual suspects. Mofcloud covers the China clouds they skip — in the same view.

China clouds6
Alibaba CloudAlibaba CloudTencent CloudTencent CloudHuawei CloudHuawei CloudVolcengineVolcengineBaidu AI CloudBaidu AI CloudUCloudUCloud
Global clouds6
AWSAWSAzureAzureGoogle CloudGoogle CloudOracle CloudOracle CloudCloudflareCloudflareLinodeLinode

FinOps Capabilities

End-to-end cost governance

Multi-cloud billing, allocation, detection, reporting and collaboration — every capability reachable from one page.

15 capabilities live

All live today, reachable from one page.

Multi-cloud bill dashboard


Unified bill schema

Heterogeneous cloud bills normalized into one model

One multi-cloud board

Bills across clouds auto-synced, all on one screen

Discounts & credits

See list price, actual price and discount rate

Multi-dimensional drill-down

By cost center, tag, region — down to daily and per-resource

Mof · Multi-cloud bill dashboard

Multi-cloud payable · this month

$1,702.93

↑ 8.2%

Billed $1,957 · 13% off · Saved $254

6 cloud accounts

AWS

$812

Alibaba

$566

Huawei

$324

Cost allocation


Custom org structure

Nest groups freely to mirror company, department, team

Monthly rules · versioned

Tweak ratios each month; versions saved and auto-copied

Multi-granularity split

By dimension, resource, virtual tag, even billing sub-items

Cross-cloud allocation

AWS, Alibaba and Huawei split into one org

Mof · Cost allocation

Split rule · Default

2026-08 · Monthly

Cost to split · by ratio

$1,702.93

Groups: Company › Dept › Team (nested)

R&D

60%

$1,022

Marketing

30%

$511

Operations

10%

$170

By dimension

By resource

By virtual tag

By sub-item

Cost anomaly detection


Smart algorithmic detection

Built-in algorithms surface cost anomalies automatically

Per-group tuning

Group by service, project, region — each with its own params

Fast attribution

Pinpoint the billing item, usage and resource behind it

Subscribe · auto reports

Subscribe to anomalies and get reports pushed — no watching dashboards

Mof · Cost anomaly detection

By service · auto-detected

Subscribed · auto report

Sensitivity 100

MIN $10

Confidence 95%

↑ Anomaly $1,379

Green = normal band · Holt-Winters forecast

COS Object Storage

⚠ 3 alerts

↑ $1,379

TokenHub

⚠ 2 alerts

↑ $334

VOD

⚠ 4 alerts

↑ $210

AI usage analysis


Zero setup · straight from bills

No gateway or code changes — read AI usage from cloud bills

Covers China LLM platforms

Pulls bills from Alibaba Bailian, Baidu Qianfan and more

Token breakdown by model

Input, cached, output, embedding — every dimension

Cost & cache-hit rate

Spend and cache-hit rate for each model

Mof · AI usage analytics

By model · by day

Zero setup · from bills

Token usage · this period

6.9B

Cost $4,172 · Cache hit 10%

input

cached

output

Qwen3.5-35B-A3B

4.75B

$2,197

DeepSeek-V4-Flash

486M

$1,185

DeepSeek-V3.2

269M

$746

Virtual tags


No changes to cloud resources

Tags live only in Mof — no permissions touched, no real resources changed

Tag only what’s billed

Tag only resources with spend, nothing irrelevant

Finer, resource-level

Tag down to the resource — finer than native cloud groups

Rule-based · auto-applied monthly

By service, region, account… saved once, applied every month

Mof · Virtual tags

Tag Key · Business line

Tag on bill only

Tag coverage

78%

34 / 44 resources tagged

prod

Alibaba · AWS · Huawei

18

dev

Alibaba

9

data

AWS · Tencent

7

Per resource

Rule / manual

Auto-applied monthly

Resource optimization


Auto-detect waste

Over-provisioned, idle, orphaned, stopped-but-billed — all caught

Based on P95 usage

Real P95 to judge over-provisioning, fewer false positives

Quantified savings

Each recommendation shows potential savings, ranked by impact

Actionable steps

Concrete downsize, reclaim and release recommendations

Mof · Resource optimization

Optimizable this month

Based on P95 usage

Save $372

/ mo

13 recommendations · Alibaba · AWS

Over-provisioned CPU

7

$182

Idle EIPs

2

$96

Orphaned disks

2

$54

Stopped but billed

2

$40

Downsize

Reclaim

Release

Custom dashboards


Grafana-style customization

Drag-and-drop layout; pick charts and data sources per panel

One-click panel sets

Pick a service to generate a full set of billing-item panels

Cost · usage · billing items

Three data sources, down to billing-item granularity

Preset boards per account

Every cloud account works out of the box — cost, usage, billing items

Mof · Custom dashboard

Cost board · My view

Drag layout

Alibaba · ECS bill

Tencent · COS items

Cash payable

$2,842

↓ 6%

Alibaba · Top items

Instance

Disk

Config

Bill reports


Export any scope

Allocation set, all cloud accounts, or a single account

Bills follow your split rules

Allocated group bills, per your allocation rules

Excel · multi-currency

Excel format, in USD or CNY

Cost + usage detail

Not just amounts — export usage detail by service

Mof · Bill report

Bill report export

Excel · USD

Shared set

All accounts

Single account

Usage detail

Service

Billed

Payable

ECS Compute

$391.80

$391.79

RDS Database

$215.96

$215.96

Elastic IP

$229.36

$229.36

OSS Storage

$8.84

$8.84

2026-08 · Cash payable

↓ Download

Daily reminders


Rich cards, every channel

Lark, DingTalk, WeCom, Slack, email — as rich cards

Subscribe to anything

Single account (or one group), multi-cloud, allocation sets

Scheduled reports + alerts

Daily cost reports on schedule, anomalies alerted automatically

System events too

Instant notice on account removal, sync failures and more

Mof · Daily reminder

Daily cost report

· 09:00 daily

Alibaba · 2026-08

$2,842.08

MoM ↓6%


Top account

Alibaba

$2,842 · 100%

Cost alert

Pay-as-you-go

▲ $4.80


Sent to

Lark

DingTalk

WeCom

Slack

Email

Team sharing


Precise, scoped sharing

Share by dimension, department or split rule — they see only that slice

Share to a user or team

Share with an individual user, or a whole team

Multi-cloud & allocation sets

Shared data can include multi-cloud bills and allocation sets

Re-allocate downstream

Recipients can keep allocating the shared data

Mof · Team sharing

Shared scope

This scope only

R&D Dept

$1,022

Cost allocation · rule default

Shared with

J

John Doe

User

D

Data Team

Team

They see only "R&D Dept" — no other departments or accounts

Cost data backup


Bills auto-exported to CSV

Pulled from cloud APIs, converted to CSV, pushed to object storage

Many accounts, one bucket

Bills from multiple cloud accounts into a single bucket

Many destinations

Alibaba / Tencent / Huawei / Volcengine / Baidu / AWS

Scheduled · downloadable

Runs daily or on demand — download anytime

Mof · Cost data backup

Export to object storage

Auto · daily

mofcloud-bill-bucket

cn-hangzhou

2026-08-01.csv.zip

IA

4.9 kB

2026-08-02.csv.zip

IA

4.9 kB

2026-08-03.csv.zip

IA

5.2 kB

Supported destinations

Alibaba

Tencent

Huawei

Volcengine

Baidu

AWS

Exchange rates


Auto-synced rates

Latest rates synced automatically, 10+ currencies

Normalize to one currency

Convert multi-cloud, multi-currency bills to one base (USD, CNY…)

Monthly overrides

Override with finance-agreed rates per month, applied automatically

Applied everywhere

Boards, reports and allocation all use this rate

Mof · Exchange rates

Base currency · USD

Auto sync · 10+ currencies

Multi-cloud total · in USD

$1,586

¥

Chinese Yuan

1 = $0.14

$1,200

€

Euro

1 = $1.09

$327

HK$

Hong Kong Dollar

1 = $0.13

$59

Monthly override

Applied site-wide

Why Mof

Everyone has the standard FinOps features. The real gap is China clouds, a unified schema, discounts, AI, and China-native collaboration.

Native support for China clouds

Native integration with Alibaba, Tencent, Huawei, Volcengine and Baidu — something Vantage, CloudZero and other overseas tools can’t do.

Unified bill schema

Normalizes each cloud’s wildly different bills into one model, making cross-cloud aggregation and allocation possible.

Transparent discounts & credits

List price, actual price and discount rate at a glance — built for the complex discount and credit systems of China clouds.

AI usage without a gateway

Reads LLM usage straight from Alibaba Bailian, Baidu Qianfan and similar bills — no gateway to install, no code to change.

Native China messaging alerts

Lark, DingTalk and WeCom out of the box — not just Slack and email.

Virtual tags at resource level

No changes to cloud resources — tag by bill, down to the resource, finer than native cloud groups.

Serious cost allocation

Nest orgs freely, tune versioned rules monthly, split by resource / virtual tag / sub-item, and unify across clouds.

Real anomaly algorithms

Holt-Winters time-series forecasting with per-service tuning — not crude threshold alerts.

End-to-end for China clouds

From bill ingestion and China IM alerts to backups into Alibaba OSS, Tencent COS and other China buckets, plus monthly multi-currency conversion — fully built around China clouds.

Frequently asked questions

In their words

The Mof team knows the cloud industry well, and built the features we needed around how we actually work. The data views are comprehensive and the product is genuinely easy to use, which cut a lot of the manual work, back-and-forth, and guesswork in our cost optimization — and improved our cloud ROI. They’ve been one of the best partners we’ve worked with on FinOps.

Customer review

Nox

Help industries use cloud more efficiently

Unified cost visibility, automated collaboration and continuous optimization turn savings and efficiency gains into measurable results.

30

%

down

Average cloud cost reduction

80

%

up

Team collaboration efficiency

46

x

up

Automation efficiency gain